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Triangulation involves using multiple data sources in an investigation to produce understanding. Some see triangulation as a method for corroborating findings and as a test for validity. This, however, is controversial.
Triangulation is a powerful technique that facilitates validation of data through cross verification from two or more sources. In particular, it refers to the application and combination of several research methods in the study of the same phenomenon. It can be used in both quantitative (validation) and qualitative (inquiry) studies.
Triangulation is a powerful tool used to validate qualitative research. In triangulation, we use absolutely different other studies to support ours in regard to the study particular in question. We therefore triangulate our work with other work to validate it. The use of triangulation in qualitative research. Carter N(1), Bryant-Lukosius D(2), DiCenso A(3), Blythe J(4), Neville AJ(5). Author information: (1)School of Nursing, McMaster University, Hamilton, Ontario.
Triangulation in Social Research: Qualitative and Quantitative Methods Can Really Be Mixed 1. Triangulation In social science triangulation is defined as the mixing of data or methods . Approaches (on this site) refer to an integrated package of options (methods or processes). For example, 'Randomized Controlled Trials' (RCTs) use a combination of the options random sampling, control group and standardised indicators and measures. There are several types of bias encountered in research, and triangulation can help .